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cushLEPOR uses LABSE distilled knowledge to improve correlation with human translation evaluations
In: Erofeev, Gleb, Sorokina, Irina, Han, Lifeng orcid:0000-0002-3221-2185 and Gladkoff, Serge (2021) cushLEPOR uses LABSE distilled knowledge to improve correlation with human translation evaluations. In: Machine Translation Summit 2021, 16-20 Aug 2021, USA (online). (In Press) (2021)
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2
Meta-evaluation of machine translation evaluation methods
In: Han, Lifeng orcid:0000-0002-3221-2185 (2021) Meta-evaluation of machine translation evaluation methods. In: Workshop on Informetric and Scientometric Research (SIG-MET), 23-24 Oct 2021, Online. (2021)
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3
Artificial intelligence approaches to predicting and detecting cognitive decline in older adults: A conceptual review.
Graham, Sarah A; Lee, Ellen E; Jeste, Dilip V. - : eScholarship, University of California, 2020
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4
Artificial Intelligence for Mental Health and Mental Illnesses: an Overview.
In: Current psychiatry reports, vol 21, iss 11 (2019)
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5
Artificial Intelligence in Radiotherapy Treatment Planning: Present and Future.
Wang, Chunhao; Zhu, Xiaofeng; Hong, Julian C. - : eScholarship, University of California, 2019
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6
Semantic reranking of CRF label sequences for verbal multiword expression identification
In: Moreau, Erwan, Alsulaimani, Ashjan, Maldonado, Alfredo orcid:0000-0001-8426-5249 , Han, Lifeng, Vogel, Carl orcid:0000-0001-8928-8546 and Dutta Chowdhury, Koel (2018) Semantic reranking of CRF label sequences for verbal multiword expression identification. In: Markantonatou, Stella, Ramisch, Carlos orcid:0000-0001-7466-9039 , Savary, Agata and Vincze, Veronika orcid:0000-0002-9844-2194 , (eds.) Multiword expressions at length and in depth: Extended papers from the MWE 2017 workshop. Language Science Press, Berlin, pp. 177-207. ISBN 978-3-96110-124-5 (2018)
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7
Incorporating Chinese radicals into neural machine translation: deeper than character level
In: Han, Lifeng orcid:0000-0002-3221-2185 and Kuang, Shaohui (2018) Incorporating Chinese radicals into neural machine translation: deeper than character level. In: 30th European Summer School in Logic, Language and Information (ESSLLI 2018), 6-17 Aug 2018, Sofia, Bulgaria. (2018)
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8
Incorporating Chinese radicals into neural machine translation: deeper Than character level
In: Han, Lifeng and Kuang, Shaohui (2018) Incorporating Chinese radicals into neural machine translation: deeper Than character level. In: 30th European Summer School in Logic, Language and Information (ESSLLI 2018), 6-17 Aug 2018, Sofia, Bulgaria. (2018)
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9
A Psychometric Tool for a Virtual Reality Rehabilitation Approach for Dyslexia
Pedroli, Elisa; Padula, Patrizia; Guala, Andrea. - : Hindawi Limited, 2017
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10
Learning of Chunking Sequences in Cognition and Behavior.
In: PLoS computational biology, vol 11, iss 11 (2015)
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11
Auditory artificial grammar learning in macaque and marmoset monkeys. ...
Wilson, Benjamin; Slater, Heather; Kikuchi, Yukiko. - : Apollo - University of Cambridge Repository, 2013
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12
Auditory artificial grammar learning in macaque and marmoset monkeys.
Wilson, Benjamin; Slater, Heather; Kikuchi, Yukiko. - : Society for Neuroscience, 2013. : J Neurosci, 2013
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13
A multi-modal dance corpus for research into interaction between humans in virtual environments
In: Essid, Slim, Lin, Xinyu, Gowing, Marc, Kordelas, Georgios, Aksay, Anil, Kelly, Philip, Fillon, Thomas, Zhang, Qianni, Dielmann, Alfred, Kitanovski, Vlado, Tournemenne, Robin, Masurelle, Aymeric, Izquierdo, Ebroul orcid:0000-0002-7142-3970 , O'Connor, Noel E. orcid:0000-0002-4033-9135 , Daras, Petros orcid:0000-0003-3814-6710 and Richard, Gaël (2012) A multi-modal dance corpus for research into interaction between humans in virtual environments. Journal on Multimodal User Interfaces, 7 (1-2). pp. 157-170. ISSN 1783-7677 (2012)
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14
Modeling Click-through based Word-pairs for Web Search
In: http://www2012.wwwconference.org/proceedings/companion/p537.pdf (2012)
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15
Learning to Detect Malicious URLs
In: http://www.cs.ucsd.edu/%7Esavage/papers/TIST11.pdf (2011)
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16
Integrating document clustering and . . .
In: http://users.cis.fiu.edu/~taoli/pub/a14-wang.pdf (2011)
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17
Analysis and Classification of Mammography Reports Using Maximum Variation Sampling
Patton, Robert M.; Beckerman, Barbara G.; Potok, Thomas E.. - : Wiley, 2011. : Oak Ridge National Laboratory, 2011
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18
An Information-extraction system for Urdu—a resource-poor language
In: http://www.cedar.buffalo.edu/~rohini/Papers/ACM-TALIP.pdf (2010)
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19
Learning to rank for quantity consensus queries
In: http://www.cc.gatech.edu/~zha/CSE8801/learning-to-rank/p243-banerjee.pdf (2009)
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20
Experiments on pattern-based relation learning
In: http://ww2.cs.mu.oz.au/~tim/pubs/cikm2009.pdf (2009)
Abstract: Relation extraction is the task of extracting semantic relations— such as synonymy or hypernymy—between word pairs from corpus data. Past work in relation extraction has concentrated on manually creating templates to use in directly extracting word pairs for a given semantic relation from corpus text. Recently, there has been a move towards using machine learning to automatically learn these patterns. We build on this research by running experiments investigating the impact of corpus type, corpus size and different parameter settings on learning a range of lexical relations.
Keyword: Algorithms; Categories and Subject Descriptors; Experimentation Keywords; I.2.6 [Learning; information extraction; Knowledge acquisition General Terms; relation extraction
URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.308.9401
http://ww2.cs.mu.oz.au/~tim/pubs/cikm2009.pdf
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